Technologies don’t just solve problems, they change us. We invent technologies, and they invent us in turn, shaping our lives and worlds. This is the phenomenon that Terry Winograd and Fernando Flores, in Understanding Computers and Cognition (1986), called “ontological design.” It matters now more than ever—along with a second lesson they saw clearly. Technological research is always guided (and sometimes misguided) by deep ontological assumptions about, e.g., the nature of cognition, agency, and communication. If we are to create technologies that truly serve human flourishing and care, we must bring these hidden assumptions into the open and question them at their roots.
B. Scot Rousse: "Language, Technology, & Care"
On working machines
In part one, on thinking machines, I explored two facets of the philosophy of artificial intelligence: “intelligence”, and consciousness. That left an important topic to consider for this post: the...
The third golden age of software engineering – thanks to AI, with Grady Booch
The third golden age of software engineering – thanks to AI, with Grady Booch
Anthropomorphism Is Breaking Our Ability to Judge AI
Tech Policy Press fellow James Ball asks, how should we interact with a technology designed to ‘speak’ with us on what appear to be human terms?
Technology is Not Values Neutral: Ending the Reign of Nihilistic Design
We fail to take tech seriously when we do not grasp its full impact on humans
Human-Centered Artificial Intelligence: Three Fresh Ideas
Human-Centered AI (HCAI) is a promising direction for designing AI systems that support human self-efficacy, promote creativity, clarify responsibility, and facilitate social participation. These human aspirations also encourage consideration of privacy, security, environmental protection, social justice, and human rights. This commentary reverses the current emphasis on algorithms and AI methods, by putting humans at the center of systems design thinking, in effect, a second Copernican Revolution. It offers three ideas: (1) a two-dimensional HCAI framework, which shows how it is possible to have both high levels of human control AND high levels of automation, (2) a shift from emulating humans to empowering people with a plea to shift language, imagery, and metaphors away from portrayals of intelligent autonomous teammates towards descriptions of powerful tool-like appliances and tele-operated devices, and (3) a three-level governance structure that describes how software engineering teams can develop more reliable systems, how managers can emphasize a safety culture across an organization, and how industry-wide certification can promote trustworthy HCAI systems. These ideas will be challenged by some, refined by others, extended to accommodate new technologies, and validated with quantitative and qualitative research. They offer a reframe -- a chance to restart design discussions for products and services -- which could bring greater benefits to individuals, families, communities, businesses, and society.
Telepath: building a new kind of computer
So, we made a thing: Let’s back up: for as long as I can remember, I’ve been obsessed with computers, fascinated not just by what they can do but what they could become. Like many, I took my early inspiration from science fiction. I dreamed of someday having something like the Enterprise’s computer. And why not? Science fiction has always driven scientists, engineers, and inventors to create real things that change the world.
Techno-solutionism
“techno-solutionism,” the simplification of complex societal problems into apps and algorithms. Ed-Tech’s Inequalities “Technological solutionism” is the related tendency to identify simple answers — in all domains, not just the tech sector — “before the questions have been fully asked” or the problems fully articulated. Take, for example: “the Internet has changed everything about how […]
On thinking machines
While Chiron Codex is about the application of LLMs and AI-augmented tools, we also need to understand their meaning to us, each other, and society. I have three topics: intelligence,...
The Nature of Technology: What It Is and How It Evolves
Leading scientific theorist W. Brian Arthur puts forth …
Push-button science
Technological advances change not only what we can learn as scientists, but also how science is conducted. Here we explore how automation and outsourcing are affecting the act of doing science.
ETCH
We believe technology should serve humanity and that human creativity is essential and irreplaceable. We support the ethical development and deployment of AI by funding protective technologies and translating research into real-world tools for creative communities.
Konrad Hinsen's blog
The advent of AI agents based on large language models (LLMs) has put the idea of automating the intellectual and cognitive work of researchers on the table. A lively, sometimes even heated discussion is already going on. A frequently missing piece in this debate is the question why we, individually and as a society, actually do science. I will examine this question first, and then consider what it implies for introducing automation into science.
Why Hasn’t AI Made Work Easier? - Cal Newport
I’ve been studying the intersection of digital technology and office work for quite some time. (I find it hard to believe that my book, Deep ... Read more
The idea of a "tech industry" has always relied on "computer" being a special kind of medium, akin to alchemy. And if tech demands to be king, AI hype has now elevated LLMs to a king of kings. But the solipsism has hit a dead end. The only way forward is to recognize that computers are not special.
LLMs are just normal technology. But tech is just a normal medium.
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